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http://support.illumina.com/sequencing/sequencing_software/casava.html

Software package that creates genomic builds, calls SNPs, detects indels, and counts reads from data generated from one or more sequencing runs. In addition, CASAVA automatically generates a range of statistics, such as mean depth and percentage chromosome coverage, to enable comparison with previous builds or other samples. CASAVA analyzes sequencing reads in three stages: * FASTQ file generation and demultiplexing * Alignment to a reference genome * Variant detection and counting

Proper citation: CASAVA (RRID:SCR_001802) Copy   

•   Source: SciCrunch Registry

http://tcoffee.crg.cat/apps/tcoffee/do:regular

A multiple sequence alignment server which can align Protein, DNA and RNA sequences.

Proper citation: T-Coffee (RRID:SCR_011818) Copy   

•   Source: SciCrunch Registry

http://probcons.stanford.edu/

Efficient protein multiple sequence alignment program, which has demonstrated a statistically significant improvement in accuracy compared to several leading alignment tools.

Proper citation: ProbCons (RRID:SCR_011813) Copy   

•   Source: SciCrunch Registry

http://genevenn.sourceforge.net/

A web application creating Venn diagrams from two or three gene lists.

Proper citation: GeneVenn (RRID:SCR_012117) Copy   

•   Source: SciCrunch Registry

http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=tblastn&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome

Tool to search translated nucleotide databases using a protein query.

Proper citation: TBLASTN (RRID:SCR_011822) Copy   

•   Source: SciCrunch Registry

http://nhjy.hzau.edu.cn/kech/swxxx/jakj/dianzi/Bioinf6/GeneFinding/GeneFinding2.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 10,2020. Data analysis service for Hidden Markov Model (HMM)-based gene structure prediction (multiple genes, both chains).

Proper citation: FGENESH (RRID:SCR_011928) Copy   

•   Source: SciCrunch Registry

http://gpcr.biocomp.unibo.it/bacello/

A predictor for the subcellular localization of proteins in eukaryotes that is based on a decision tree of several support vector machines (SVMs). It classifies up to four localizations for Fungi and Metazoan proteins and five localizations for Plant ones. BaCelLo's predictions are balanced among different classes and all the localizations are considered as equiprobable.

Proper citation: BaCelLo (RRID:SCR_011965) Copy   

•   Source: SciCrunch Registry

https://github.com/Tarskin/LaCyTools

Software high throughput data extraction package for LC-MS data.Targeted Liquid Chromatography-Mass Spectrometry data processing package for relative quantitation of glycopeptides.

Proper citation: LaCyTools (RRID:SCR_024525) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=GOplot

Software R package for visually combining expression data with functional analysis.

Proper citation: GOplot (RRID:SCR_024419) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=geepack

Software R package implements generalized estimating equations for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can handle clustered categorical responses. Used for fitting marginal generalized linear models to clustered data.

Proper citation: geepack (RRID:SCR_024510) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/dagitty/

Software R package provides access to all of the capabilities of DAGitty web application for drawing and analysing Directed Acyclic Graphs within the R platform for statistical computing. Used for graphical analysis of structural causal models.

Proper citation: DAGitty (RRID:SCR_024509) Copy   

•   Source: SciCrunch Registry

https://github.com/ekmolloy/fastmulrfs

Software pipeline for estimating species trees from multi copy gene trees.

Proper citation: FastMulRFS (RRID:SCR_024505) Copy   

•   Source: SciCrunch Registry

http://www.cs.cmu.edu/~durand/Notung/

Software package to facilitate large scale analysis, using both rooted and unrooted trees.Used for dating gene duplications and optimizing gene family trees.Used for inferring duplication dates from gene trees automatically and can also be used as exploratory analysis tool for evaluating alternative hypotheses.

Proper citation: NOTUNG (RRID:SCR_024484) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=CMplot

Software drawing R package designed for Manhattan plot of genomic analysis.

Proper citation: CMplot (RRID:SCR_024514) Copy   

•   Source: SciCrunch Registry

https://github.com/PoisonAlien/Maftools

Software R package offers multitude of analysis and visualization modules that are commonly used in cancer genomic studies, including driver gene identification, pathway, signature, enrichment, and association analyses. Maftools requires somatic variants in Mutation Annotation Format (MAF) and is independent of larger alignment files.

Proper citation: maftools (RRID:SCR_024519) Copy   

•   Source: SciCrunch Registry

http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastx&BLAST_PROGRAMS=blastx&PAGE_TYPE=BlastSearch&SHOW_DEFAULTS=on&LINK_LOC=blasthome

Web application to search protein databases using a translated nucleotide query. Translated BLAST services are useful when trying to find homologous proteins to a nucleotide coding region. Blastx compares translational products of the nucleotide query sequence to a protein database. Because blastx translates the query sequence in all six reading frames and provides combined significance statistics for hits to different frames, it is particularly useful when the reading frame of the query sequence is unknown or it contains errors that may lead to frame shifts or other coding errors. Thus blastx is often the first analysis performed with a newly determined nucleotide sequence and is used extensively in analyzing EST sequences. This search is more sensitive than nucleotide blast since the comparison is performed at the protein level.

Proper citation: BLASTX (RRID:SCR_001653) Copy   

•   Source: SciCrunch Registry

https://www.genome.wisc.edu/tools/asap.htm

Database and web interface developed to store, update and distribute genome sequence data and gene expression data. ASAP was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis. The ASAP database includes multiple genome sequences at various stages of analysis, and gene expression data from preliminary experiments. Use of some of this preliminary data is conditional, and it is the users responsibility to read the data release policy and to verify that any use of specific data obtained through ASAP is consistent with this policy. There are four main routes to viewing the information in ASAP: # a summary page, # a form to query the genome annotations, # a form to query strain collections, and # a form to query the experimental data. Navigational buttons appear on every page allowing users to jump to any of these four points., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ASAP (RRID:SCR_001849) Copy   

•   Source: SciCrunch Registry

https://david.ncifcrf.gov/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis.

Proper citation: DAVID (RRID:SCR_001881) Copy   

•   Source: SciCrunch Registry

https://software.broadinstitute.org/gatk/

A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software)

Proper citation: GATK (RRID:SCR_001876) Copy   

•   Source: SciCrunch Registry

https://github.com/hms-dbmi/spp

R analysis and processing package for Illumina platform Chip-Seq data.

Proper citation: SPP (RRID:SCR_001790) Copy   

•   Source: SciCrunch Registry